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Proceedings Paper

Estimation of lens distortion correction from single images
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Paper Abstract

In this paper, we propose a method for estimation of camera lens distortion correction from a single image. Without relying on image EXIF, the method estimates the parameters of the correction by searching for a maximum energy of the so-called linear pattern introduced into the image during image acquisition prior to lens distortion correction. Potential applications of this technology include camera identification using sensor fingerprint, narrowing down the camera model, estimating the distance between the photographer and the subject, forgery detection, and improving the reliability of image steganalysis (detection of hidden data).

Paper Details

Date Published: 19 February 2014
PDF: 13 pages
Proc. SPIE 9028, Media Watermarking, Security, and Forensics 2014, 90280N (19 February 2014); doi: 10.1117/12.2036804
Show Author Affiliations
Miroslav Goljan, Binghamton Univ. (United States)
Jessica Fridrich, Binghamton Univ. (United States)


Published in SPIE Proceedings Vol. 9028:
Media Watermarking, Security, and Forensics 2014
Adnan M. Alattar; Nasir D. Memon; Chad D. Heitzenrater, Editor(s)

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